Instructions to use nqvii/deit_fold_3_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nqvii/deit_fold_3_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nqvii/deit_fold_3_v3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("nqvii/deit_fold_3_v3") model = AutoModelForImageClassification.from_pretrained("nqvii/deit_fold_3_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e63f9897758e55004db2c0251bb5f1d0fb810382baad6d9a6be87022170bc3db
- Size of remote file:
- 5.2 kB
- SHA256:
- edfb7ac9c9c36aa73c4c357ca19168cffa86af49e1a349157dbdf6e226b9a0f5
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